Back to leaderboard

qwen36-distill-apex

OLLAMA GGUF
Not Rec.

Jul 17, 2026 · Apple M5 Max

mistral:latest

OLLAMA GGUF

llama · 7.2B · Q4_0

Good

Feb 28, 2026 · Apple M4 Pro

Global Score
36 vs 72
Hardware Fit
100 vs 100
Quality Score
8 vs 60

Hardware

qwen36-distill-apex mistral:latest
MachineMacBook ProMac Mini
CPUApple M5 MaxApple M4 Pro
Cores1814
RAM64 GB64 GB
GPUApple M5 MaxApple M4 Pro
OSmacOS 27.0macOS 15.7.4
Archarm64arm64
Power Modebalancedunknown

Performance

qwen36-distill-apex mistral:latest
Tokens/sec55.254.3
First chunk210 msN/A
TTFT210 ms124 ms
Load time4.8 s0.0 s
Memory usage0.9 GB9.9 GB
Memory %2%15%

HW Fit Score Breakdown

qwen36-distill-apex

Speed
50/50
TTFT
20/20
Memory
30/30

mistral:latest

Speed
40/50
TTFT
30/20
Memory
30/30

Quality

qwen36-distill-apex

Reasoning
8/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Weak Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

mistral:latest

Reasoning
8/20
Coding
15/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong
View qwen36-distill-apex details | View mistral:latest details

Run yours and compare

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest